Dynamical p-adaptivity for LES of compressible flows in a high order DG framework
Keywords
High Performance Computing
Advanced Numerical Methods for Scientific Computing
SC4I/Digitization, Innovation, and Competitiveness of the Production System
Code:
41/2019
Title:
Dynamical p-adaptivity for LES of compressible flows in a high order DG framework
Date:
Saturday 9th November 2019
Author(s):
Abbà, A.; Bonaventura, L.; Recanati, A.; Tugnoli, M.;
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Abstract:
We investigate the possibility of reducing the computational burden of LES models by employing locally and dynamically adaptive polynomial degrees in the framework of a high order DG method. A degree adaptation technique especially featured to be effective for LES applications, that was previously developed by the authors and tested in the statically adaptive case, is applied here in a dynamically adaptive fashion.
Two significant benchmarks are considered, comparing the results of adaptive and non adaptive simulations.
The proposed dynamically adaptive approach allows for a significant reduction of the computational cost of representative LES computation, while allowing to maintain the level of accuracy guaranteed by LES carried out with constant, maximum polynomial degree values.